New & Trending Technologies in 2021 You Should Know About.
The 21st century has been a century of technological change. Several highly commercial and prevalent technologies during the early 2000s have entirely vanished, and new ones have taken their place. Many completely new technologies have also come up in 2021, especially in the arena of computer science and engineering. These new technologies in 2021 are only likely to grow and perhaps even reach the common person’s hands.
If you want to learn about new technology trends in 2021 and stay updated, let’s dive in. Here are the new trending technologies in 2021 you should check out and learn to master if you want to get an edge in the market.
1. Artificial Intelligence and Machine Learning :
Artificial intelligence and machine learning once represented the cutting edge of computer science. When these technologies were created in the last 20th century, they hardly had any applications and were, in fact, mostly academic. However, these technologies have gained applications over the years and reached ordinary people’s hands through their mobile phones.
Machine learning represents a computer science field in which an algorithm can predict future data based on previously generated data. Artificial intelligence represents the next step in machine learning, in which an algorithm develops data-based intelligence and can even carry out essential tasks on its own.
2. Data Science :
For much of the initial part of the 21st century, data science was the next big thing. Data science has been around for much longer than just the past twenty months. For centuries, data analysis has been an essential task for companies, government, institutions, and departments. Analysing data helps understand the efficiency of processes, conduct surveys of the workforce, and gauge people’s general mood.
However, as of today, much of data analysis has turned digital. Data analysis is among the first jobs that computers are turned to for. In the early 2000s, data analysis was so prevalent that students were being taught introductory courses on the subject in school.
The benefit of having a career in data science, regardless of the domain your company works in, is that you are an essential part of the firm’s overall business. The data that you produce and the interpretations that you provide are likely to be a necessary part of the business strategy of any company that you serve.
3. Virtual Reality and Augmented Reality
Virtual Reality and Augmented Reality have both been technology buzzwords for over a decade now. However, these top technology trends have so far failed to materialise into widely available consumer products. The presence of virtual reality and augmented reality in our real lives is minimal. Eventhough VR and AR have been familiar in the industry, they are relatively new technologies in 2021.
Virtual reality has been used widely in video games thus far and augmented reality-based apps did become popular for a while a few years ago, before waning. However, the best way virtual reality can become a top technology trend for the future is by making it a part of people’s daily lives.
Over the past few years, virtual reality has also begun to find applications in training programs. Another domain where virtual reality experiences have been useful is in providing experiences to museum-goers. The trajectory of the rise of virtual reality is very similar to that of 3D technology—it might take just one application, such as cinema in 3D, for the technology to become mainstream. According to Payscale, average salary of AR Engineer is above 6 lakhs per annum, one more reason to give this new technology a try in 2021.
4. DevOps Engineering :
DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality. DevOps is complementary with Agile software development; several DevOps aspects came from the Agile methodology.
5. Cloud Computing :
Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. Large clouds often have functions distributed over multiple locations, each location being a data center.
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